Associated with the Special Issue of the International Journal of Data Science and Analytics (JDSA): Big Data, IoT Streams and Heterogeneous Source Mining.

Scope
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The goal of the workshop is to provide a forum to discuss important research questions and practical challenges in big data mining and related areas. Novel ideas, controversial issues, open problems and comparisons of competing approaches are strongly encouraged. Representation of alternative viewpoints and discussions are also strongly encouraged.

We invite submission of papers describing innovative research on all aspects of big data mining. Work-in-progress papers, demos, and visionary papers are also welcome.

Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Authors are strongly encouraged to make data and code publicly available whenever possible.

More details on submission: https://bigmine.github.io/bigmine17/submission.html

Journal Track
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The authors of accepted papers will be invited to revise and expand their papers to be considered for publication in the Special Issue of the International Journal of Data Science and Analytics (JDSA): S.I. Big Data, IoT Streams and Heterogeneous Source Mining.

Note that these expanded submissions will be treated as regular JDSA journal submissions with the same quality criteria as any paper accepted in the special issue, and will have to satisfy the high standards of the journal.

We also encourage general submissions to the special issue, which covers the same scope and topics as the workshop.